Outcomes of Population Surveillance Data Collection Pilots and the Behavioral Risk Factor Surveillance System: What Happens in Texas.

Declining response rates and rising costs have prompted the search for alternatives to traditional random-digit dialing (RDD) interviews. In 2021, three Behavioral Risk Factor Surveillance System (BRFSS) pilots were conducted in Texas: data collection using an RDD short message service (RDD SMS) text-messaging push-to-web pilot, an address-based push-to-web pilot, and an internet panel pilot. We used data from the three pilots and from the concurrent Texas BRFSS Computer Assisted Telephone Interview (CATI). We compared unweighted data from these four sources to demographic information from the American Community Survey (ACS) for Texas, comparing respondents' health information across the protocols as well as cost and response rates. Non-Hispanic White adults and college graduates disproportionately responded in all survey protocols. Comparing costs across protocols was difficult due to the differences in methods and overhead, but some cost comparisons could be made. The cost per complete for BRFSS/CATI ranged from $75 to $100, compared with costs per complete for address-based sampling ($31 to $39), RDD SMS ($12 to $20), and internet panel (approximately $25). There were notable differences among survey protocols and the ACS in age, race/ethnicity, education, and marital status. We found minimal differences in respondents' answers to heart disease-related questions; however, responses to flu vaccination questions differed by protocol. Comparable responses were encouraging. Properly weighted web-based data collection may help use data collected by new protocols as a supplement to future BRFSS efforts.

Differences in Efficiencies Between ABS and RDD Samples by Mode of Data Collection.

Research on mode of administration of surveys increasingly appears in the literature. Little research includes comparisons by sample frame as well as by mode. This research examines differences in efficiency using two types of sample frames (address-based samples [ABS] or random digit dialing [RDD] samples) and multiple modes (web-based surveys, mailed questionnaire, and telephone interview) among adult respondents. Matching telephone numbers to addresses was conducted on both samples. A test of the effectiveness of making modifications to drop point locations in the ABS was also undertaken. A higher proportion of addresses were matched to telephone numbers in an ABS but with less accuracy than matching telephone numbers to addresses in an RDD sample. Costs per competed interview were lower using the RDD than when using the ABS. Efforts to specify apartment numbers in drop point locations in the ABS were not found to be cost effective. Overall, for both demographic and substantive question outcomes, survey frame has less of an impact than survey mode on measures of response rate and cost.

Making sense of sexual orientation measures: findings from a cognitive processing study with adolescents on health survey questions.

OBJECTIVE: To carry out a study using cognitive processing interview methods to explore ways in which adolescents understand sexual orientation questions currently used on epidemiologic surveys. METHODS: In-depth, individual interviews were conducted to probe cognitive processes involved in answering four self-report survey questions assessing sexual identity, sexual attraction, and sex of sexual partners.A semi-structured interview guide was used to explore variation in question interpretation, information retrieval patterns and problems, item clarity, valence of reactions to items (positive, negative, neutral), respondent burden, and perceived threat associated with the measures. Thirty adolescents aged 15 to 21 of diverse sexual orientations and race/ethnicities participated in the study, including female, male, and transgender youth. RESULTS: A question on sexual attraction was the most consistently understood and thus was easy for nearly all youth to answer. In contrast, a measure of sexual identity with options heterosexual, bisexual, gay/lesbian, and unsure was the most difficult to answer. Most preferred a sexual identity item that also provided the intermediate options mostly heterosexual and mostly homosexual, which many said reflected their experience of feeling between categories. Participants had varying and inconsistent interpretations of sexual behavior terms, such as sex and sexual intercourse, used in assessing the sex of sexual partners. CONCLUSION: Differences in understanding could affect interpretation of survey data in important ways. Development of valid measures of sexual orientation will be essential to better monitor health disparities.

Brief intervention for medical inpatients with unhealthy alcohol use: a randomized, controlled trial.

BACKGROUND: The efficacy of brief intervention in reducing alcohol consumption is well established for selected outpatients but not for medical inpatients. OBJECTIVE: To determine whether brief intervention improves alcohol outcomes in medical inpatients who were identified by screening as having unhealthy alcohol use. DESIGN: Randomized, controlled trial. SETTING: Medical service of an urban hospital. PATIENTS: 341 medical inpatients who were drinking risky amounts of alcohol (defined for eligibility as >14 drinks/wk or > or =5 drinks/occasion for men and >11 drinks/wk or > or =4 drinks/occasion for women and persons > or =66 y); 77% had alcohol dependence as determined by the Composite International Diagnostic Interview Alcohol Module. INTERVENTION: A 30-minute session of motivational counseling given by trained counselors during a patient's hospitalization (n = 172) versus usual care (n = 169). MEASUREMENTS: Self-reported primary outcomes were receipt of alcohol assistance (for example, alcohol disorders specialty treatment) by 3 months in dependent drinkers and change in the mean number of drinks per day from enrollment to 12 months in all patients. RESULTS: The intervention was not significantly associated with receipt of alcohol assistance by 3 months among alcohol-dependent patients (adjusted proportions receiving assistance, 49% for the intervention group and 44% for the control group; intervention-control difference, 5% [95% CI, -8% to 19%]) or with drinks per day at 12 months among all patients (adjusted mean decreases, 1.5 for patients who received the intervention and 3.1 for patients who received usual care; adjusted mean group difference, -1.5 [CI, -3.7 to 0.6]). There was no significant interaction between the intervention and alcohol dependence in statistical models predicting drinks per day (P = 0.24). LIMITATIONS: Baseline imbalances existed between randomized groups. Patients who received usual care were assessed and advised that they could discuss their drinking with their physicians. CONCLUSIONS: Brief intervention is insufficient for linking medical inpatients with treatment for alcohol dependence and for changing alcohol consumption. Medical inpatients with unhealthy alcohol use require more extensive, tailored alcohol interventions.

Screening and brief intervention online for college students: the ihealth study.

AIMS: To test the feasibility of online alcohol screening and brief intervention (BI) by comparing (i) two approaches to inviting all students to be screened, and (ii) a minimal versus a more extensive BI. METHODS: Freshmen students at one university were randomized to receive one of two types of email invitations to an online anonymous: (i) general health assessment, or (ii) alcohol-specific assessment. All were linked to the same alcohol screening survey. Those with unhealthy alcohol use (AUDIT >or=8) were randomly assigned to minimal or more extensive online alcohol BI. RESULTS: In both invitation groups (4008 students), 55% of students completed the online screening. Overall, 37% of men and 26% of women had unhealthy alcohol use. Compared to minimal BI, more extensive BI was associated with intention to seek help among men and with a greater increase in readiness to change among women. One month after BI, 75% of students completed another assessment, 33% of women and 15% of men with unhealthy alcohol use at baseline no longer had unhealthy alcohol use. There were no significant differences on drinking measures by BI randomization group. CONCLUSIONS: Over half of an entire freshman class of college students were reached by email and completed alcohol screening and brief intervention. Even an alcohol-specific invitation did not deter students. Although brief interventions that differed had some gender specific effects on readiness to change and intention, in general, unhealthy alcohol use decreased after brief intervention. Web screening and brief intervention show promise for addressing unhealthy alcohol use by college students.

The severity of unhealthy alcohol use in hospitalized medical patients. The spectrum is narrow.

BACKGROUND: Professional organizations recommend screening and brief intervention for unhealthy alcohol use; however, brief intervention has established efficacy only for people without alcohol dependence. Whether many medical inpatients with unhealthy alcohol use have nondependent use, and thus might benefit from brief intervention, is unknown. OBJECTIVE: To determine the prevalence and spectrum of unhealthy alcohol use in medical inpatients. DESIGN: Interviews of medical inpatients (March 2001 to June 2003). SUBJECTS: Adult medical inpatients (5,813) in an urban teaching hospital. MEASUREMENTS: Proportion drinking risky amounts in the past month (defined by national standards); proportion drinking risky amounts with a current alcohol diagnosis (determined by diagnostic interview). RESULTS: Seventeen percent (986) were drinking risky amounts; 97% exceeded per occasion limits. Most scored > or =8 on the Alcohol Use Disorders Identification Test, strongly correlating with alcohol diagnoses. Most of a subsample of subjects who drank risky amounts and received further evaluation had dependence (77%). CONCLUSIONS: Drinking risky amounts was common in medical inpatients. Most drinkers of risky amounts had dependence, not the broad spectrum of unhealthy alcohol use anticipated. Screening on a medicine service largely identifies patients with dependence--a group for whom the efficacy of brief intervention (a recommended practice) is not well established.

Health utility ratings for a spectrum of alcohol-related health states.

BACKGROUND: Preference-based utility ratings for health conditions are important components of cost-utility analyses and population burden of disease estimates. However, utility ratings for alcohol problems have not been determined. OBJECTIVES: The objectives of this study were to directly measure utility ratings for a spectrum of alcohol-related health states and to compare different methods of utility measurement. DESIGN, SETTING, AND SUBJECTS: The authors conducted a cross-sectional interview of 200 adults from a clinic and community sample. METHODS: Subjects completed computerized visual analog scale (VAS), time tradeoff (TTO), and standard gamble (SG) utility measurement exercises for their current health, a blindness scenario, and for 6 alcohol-related health state scenarios presented in random order. The main outcome measures were the utility ratings, scaled from 0 to 1, and anchored by death (0) and perfect health (1). RESULTS: The 200 subjects were middle-aged (mean, 41 +/- 14 years), 61% women, and racially diverse (48% black, 43% white). Utility ratings decreased as the severity of the alcohol-related health state increased, but differed significantly among the VAS, TTO, and SG methods within each health state. Adjusted mean (95% confidence interval) utility ratings for alcohol dependence (VAS, 0.38 [0.34-0.41]; TTO, 0.54 [0.48-0.60]; SG, 0.68 [0.63-0.73]) and alcohol abuse (VAS, 0.53 [0.49-0.56]; TTO, 0.71 [0.65-77]; SG, 0.76 [0.71-0.81]) were significantly lower than utility ratings for nondrinking, moderate drinking, at-risk drinking, current health, and blindness. CONCLUSIONS: Utility ratings for alcohol-related health states decrease as the severity of alcohol use increases. The low utility ratings for alcohol abuse and alcohol dependence are similar to those reported for other severe chronic medical conditions.

Dating violence among gay, lesbian, and bisexual adolescents: results from a community survey.

PURPOSE: To characterize the prevalence of dating violence experienced by gay, lesbian, bisexual (GLB), and heterosexual adolescents. METHODS: Self-report surveys were collected and analyzed from 521 adolescents at a GLB youth rally. Respondents were asked about dating violence, including types of abuse, threats of "outing," and gender of abuser. Multivariate logistic regression analyses were used to test group differences. RESULTS: Reports of dating violence were prevalent in all sexual orientation groups, and there were few statistically significant differences. Compared with heterosexuals and controlling for age, bisexual males had greater odds of reporting any type of abuse, and bisexual females had greater odds of experiencing sexual abuse. Controlling for age, lesbians had greater odds of being scared about their safety, compared with heterosexual females, and bisexuals were more likely to be threatened with outing, compared with gay males/lesbians. CONCLUSIONS: Overall, the prevalence of dating violence among GLB adolescents is similar to that of heterosexuals. Dating violence outreach and prevention efforts should be targeted to reach GLB adolescents.